Abstract: A framework for information extraction from natural language documents is application independent and provides a high degree of reusability. The framework integrates different Natural Language/Machine Learning techniques, such as parsing and classification. The architecture of the framework is integrated in an easy to use access layer. The framework performs general information extraction, classification/categorization of natural language documents, automated electronic data transmission (e.g., E-mail and facsimile) processing and routing, and plain parsing. Inside the framework, requests for information extraction are passed to the actual extractors. The framework can handle both pre- and post processing of the application data, control of the extractors, enrich the information extracted by the extractors. The framework can also suggest necessary actions the application should take on the data.

Abstract: A apparatus for gearless shifting, includes at least one crank, and an arm assembly, coupled to the at least one crank, for telescoping to adjust a length of the at least one crank, to selectively and controllably adjust a stroke length of the at least one crank. A pump also is provided including a variable-stroke length apparatus.